windows下配置mycat,实现mysql数据库的读写分离!
下载Windows的安装包
https://github.com/MyCATApache/Mycat-download/tree/master/1.4-RELEASE下的
配置环境变量:
修改配置文件
wrapper.conf
Server.xml
- <?xml version="1.0" encoding="UTF-8"?>
- <!-- - - Licensed under the Apache License, Version 2.0 (the "License");
- - you may not use this file except in compliance with the License. - You
- may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0
- - - Unless required by applicable law or agreed to in writing, software -
- distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT
- WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the
- License for the specific language governing permissions and - limitations
- under the License. -->
- <!DOCTYPE mycat:server SYSTEM "server.dtd">
- <mycat:server xmlns:mycat="http://org.opencloudb/">
- <system>
- <property name="defaultSqlParser">druidparser</property>
- <!-- <property name="useCompression">1</property>--> <!--1为开启mysql压缩协议-->
- <!-- <property name="processorBufferChunk">40960</property> -->
- <!--
- <property name="processors">1</property>
- <property name="processorExecutor">32</property>
- -->
- <!--默认是65535 64K 用于sql解析时最大文本长度 -->
- <!--<property name="maxStringLiteralLength">65535</property>-->
- <!--<property name="sequnceHandlerType">0</property>-->
- <!--<property name="backSocketNoDelay">1</property>-->
- <!--<property name="frontSocketNoDelay">1</property>-->
- <!--<property name="processorExecutor">16</property>-->
- <!--
- <property name="mutiNodeLimitType">1</property> 0:开启小数量级(默认) ;1:开启亿级数据排序
- <property name="mutiNodePatchSize">100</property> 亿级数量排序批量
- <property name="processors">32</property> <property name="processorExecutor">32</property>
- <property name="serverPort">8066</property> <property name="managerPort">9066</property>
- <property name="idleTimeout">300000</property> <property name="bindIp">0.0.0.0</property>
- <property name="frontWriteQueueSize">4096</property> <property name="processors">32</property> -->
- </system>
- <user name="root">
- <property name="password">zhangxin</property>
- <property name="schemas">TESTDB</property>
- </user>
- <user name="test">
- <property name="password">123456</property>
- <property name="schemas">TESTDB</property>
- <property name="readOnly">true</property>
- </user>
- <!-- <cluster> <node name="cobar1"> <property name="host">127.0.0.1</property>
- <property name="weight">1</property> </node> </cluster> -->
- <!-- <quarantine> <host name="1.2.3.4"> <property name="user">test</property>
- </host> </quarantine> -->
- </mycat:server>
Schema.xml
- <img src="https://img-blog.****.net/20151225113842352?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQv/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" alt="" />
- <?xml version="1.0"?>
- <!DOCTYPE mycat:schema SYSTEM "schema.dtd">
- <mycat:schema xmlns:mycat="http://org.opencloudb/">
- <schema name="TESTDB" checkSQLschema="false" sqlMaxLimit="100">
- <!-- auto sharding by id (long) -->
- <table name="travelrecord" dataNode="dn1,dn2,dn3" rule="auto-sharding-long" ruleRequired="false" />
- <table name="test1_0" dataNode="dn1,dn2,dn3" rule="auto-sharding-long" ruleRequired="false" />
- <!-- global table is auto cloned to all defined data nodes ,so can join
- with any table whose sharding node is in the same data node -->
- <table name="company" primaryKey="ID" dataNode="dn1,dn2,dn3" rule="mod-long"/>
- <table name="goods" primaryKey="ID" type="global" dataNode="dn1,dn2" />
- <!-- random sharding using mod sharind rule -->
- <table name="hotnews" primaryKey="ID" dataNode="dn1,dn2,dn3"
- rule="mod-long" />
- <!--
- <table name="worker" primaryKey="ID" dataNode="jdbc_dn1,jdbc_dn2,jdbc_dn3" rule="mod-long" />
- -->
- <table name="employee" primaryKey="ID" dataNode="dn1,dn2"
- rule="sharding-by-intfile" >
- <childTable name="childtest" primaryKey="ID" joinKey="parent_id" parentKey="id"/>
- </table>
- <table name="customer" primaryKey="ID" dataNode="dn1,dn2"
- rule="sharding-by-intfile">
- <childTable name="orders" primaryKey="ID" joinKey="customer_id"
- parentKey="id">
- <childTable name="order_items" joinKey="order_id"
- parentKey="id" />
- </childTable>
- <childTable name="customer_addr" primaryKey="ID" joinKey="customer_id"
- parentKey="id" />
- </table>
- </schema>
- <dataNode name="dn1" dataHost="192.168.37.9" database="db1" />
- <dataNode name="dn2" dataHost="192.168.37.9" database="db2" />
- <dataNode name="dn3" dataHost="192.168.37.9" database="db3" />
- <dataHost name="192.168.37.9" maxCon="1000" minCon="10" balance="0"
- writeType="0" dbType="mysql" dbDriver="native">
- <heartbeat>select user()</heartbeat>
- <!-- can have multi write hosts -->
- <writeHost host="hostM1" url="192.168.37.9:3306" user="root"
- password="zhangxin">
- </writeHost>
- </dataHost>
- </mycat:schema>
启动mycat
启动mysql客户端:
查看employee表信息:
重点说明:在配置的过程中需要把连接MySQL的驱动包放到mycat的lib下面
相关推荐
- windows 下 Mysql主从配置,实现读写分离
- windows环境下实现mysql的读写分离和负载均衡
- Spring Boot2.0.3 Mybatis Sharding-jdbc3.X集成实现数据库的读写分离(一)MySql的主从配置
- windows下配置mycat,实现mysql数据库的读写分离!
- cool-2018-03-10-windows下实现mysql5.6读写分离、主从复制和一主多从
- Mycat配置MySql的读写分离
- Mysql+Mycat实现数据库主从同步与读写分离
- Mysql+Mycat实现数据库主从同步与读写分离
- mycat配置mysql的读写分离
- 企业级mysql数据库集群----实现数据库的读写分离(mysql-proxy)
- 数据库系列课程(05)-MyCat分库分表策略
- 如何写一篇好的科研论文